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Models/Pose Residual Network

Pose Residual Network

Reported on 7 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Pose EstimationonCOCO (Common Objects in Context)
Validation AP· 2018-07-11
69.6
best: 82.2 (Sapiens-2B)
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067
Pose EstimationonCOCO (Common Objects in Context)
AP· 2018-07-11
0.697
best: 79.5 (OmniPose (WASPv2))
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067
Multi-Person Pose EstimationonCOCO (Common Objects in Context)
AP· 2018-07-11
0.697
best: 0.792 (RSN)
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067

Methodology2 results

3DonCOCO (Common Objects in Context)
Validation AP· 2018-07-11
69.6
best: 82.2 (Sapiens-2B)
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067
3DonCOCO (Common Objects in Context)
AP· 2018-07-11
0.697
best: 79.5 (OmniPose (WASPv2))
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067

Audio2 results

1 Image, 2*2 StitchionCOCO (Common Objects in Context)
Validation AP· 2018-07-11
69.6
best: 82.2 (Sapiens-2B)
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067
1 Image, 2*2 StitchionCOCO (Common Objects in Context)
AP· 2018-07-11
0.697
best: 79.5 (OmniPose (WASPv2))
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network arXiv:1807.04067